Aircraft Attitude Control System Design Considering Actuator Based on Improved Genetic Algorithm
Aircraft Attitude Control System Design Considering Actuator Based on Improved Genetic Algorithm
- Author(s): Cheng Liu ; Xiaohui Sun ; Yaoxing Shang ; Zongxia Jiao
- DOI: 10.1049/cp.2018.0174
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
CSAA/IET International Conference on Aircraft Utility Systems (AUS 2018) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): Cheng Liu ; Xiaohui Sun ; Yaoxing Shang ; Zongxia Jiao Source: CSAA/IET International Conference on Aircraft Utility Systems (AUS 2018), 2018 page (6 pp.)
- Conference: CSAA/IET International Conference on Aircraft Utility Systems (AUS 2018)
- DOI: 10.1049/cp.2018.0174
- ISBN: 978-1-78561-791-1
- Location: Guiyang, China
- Conference date: 19-22 June 2018
- Format: PDF
This paper concerns the cross-linking between aircraft attitude control system and actuator, proposes a new method of designing aircraft attitude controller while considering the characteristics and constraints of actuator. The mathematical model of actuator is deduced and a servo controller is designed. Considering the characteristic and constraints of actuator, model of attitude control system is presented based on general dynamic analysis of aircraft. Under the multi-constraints of both dynamic quality and frequency domain margin, multi-objective evolutionary optimization (improved genetic algorithm) is implemented to adjust parameters of the proposed attitude controller.
Inspec keywords: actuators; aircraft control; frequency-domain analysis; genetic algorithms; control system synthesis; servomechanisms; attitude control
Subjects: Control system analysis and synthesis methods; Actuating and final control devices; Aerospace control; Spatial variables control; Mathematical analysis; Optimisation techniques
Related content
content/conferences/10.1049/cp.2018.0174
pub_keyword,iet_inspecKeyword,pub_concept
6
6